Job Description

Company: GoCommotion

Company Website:https://gocommotion.com/

About GoCommotion:

Commotion creates meaningful experiences for consumers, making brand and product discovery effortless. By harnessing the power of AI, we’re helping dynamic, memorable, personalized interactions across channels become a reality

Looking for a  Machine Learning Engineer (Fresher) who will have a strong foundation in machine learning, be proficient in Python, and possess experience with Large Language Models (LLMs). This is a unique opportunity to work on impactful projects and develop innovative solutions that push the boundaries of AI and machine learning.

Role: Machine Learning Engineer (Fresher)

Location: Remote

Experience Level: 06 to 2 Years

Key Responsibilities:

• Model Development: Design, develop, and deploy machine learning models and algorithms to solve complex problems.

• Data Analysis: Perform data preprocessing, cleaning, and analysis to derive actionable insights and prepare datasets for modeling.

• LLM Integration: Implement and fine-tune Large Language Models (LLMs) to enhance our products and services.

• Performance Optimization: Optimize model performance and scalability through hyperparameter tuning, model evaluation, and iterative improvement. 
• Collaboration: Work closely with cross-functional teams including data scientists, software engineers, and product managers to integrate ML solutions into our systems
•  Research and Innovation: Stay updated with the latest trends and advancements in machine learning and AI, and contribute to the research and development of new techniques and methodologies.
• Documentation: Maintain comprehensive documentation of models, experiments, and workflows to ensure reproducibility and knowledge sharing.

Qualifications:

• Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.

• Proficiency in Python: Strong programming skills in Python, with experience in using libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.

• Experience with LLMs: Hands-on experience with Large Language Models such as GPT, BERT, or similar models, including model training, fine-tuning, and deployment.

• Foundational Knowledge: Solid understanding of machine learning concepts, algorithms, and techniques.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.

• Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Team Player: Ability to work effectively in a collaborative team environment and manage multiple tasks simultaneously.

Preferred Skills:

• Cloud Platforms: Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning models.

• MLOps: Familiarity with MLOps practices and tools for managing the machine learning lifecycle.

• Version Control: Proficiency with version control systems like Git.
• Visualization: Skills in data visualization tools and libraries such as Matplo Seaborn, or Plotly.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• A collaborative and inclusive work environment.
• Access to the latest tools and technologies in machine learning and AI.
• Ongoing learning and development opportunities.